This study conducts a practical application of shipboard operation human reliability analysis (SOHRA) to a crankshaft overhauling operation of a general cargo ship at dry-docking period. The SOHRA approach includes error producing condition (EPC) and general task type (GTT) parameters to consistently calculate the human error probability (HEP) values of operation steps. In this case, a comprehensive overhauling of main engine was planned at shipyard since the ship has experienced a catastrophic failure. An onboard survey to ship engine room is conducted to monitor the operational conditions. The targeted operation, involves disassembly, maintenance, and reassembly stages, is monitored based on 39 sub-tasks. According to the initial findings, immediate recovery actions are suggested to eliminate critical safety issues in a timely manner. Moreover, an extended discussion through long-term safety recommendations are also provided. The results revealed from case study illustrates that HEP values in maintenance operations are sensitive to ship operating conditions. The proposed approach is found very useful by company executives to support ship technical superintendents in critical operation monitoring. The further study is considered to develop mobile application of SOHRA specific to maintenance operations onboard ships.

No abstract

No abstract

This study conducts a comprehensive bibliometric review of 123 papers, authored by 359 scholars, on maritime inspection analysis published in 77 scientific journals. The bibliographical data are analyzed in R software using the Bibliometrix tool. The most influential publications, journals, authors, and institutions are identified using citation analysis metrics. Three underlying research clusters are identified using the bibliographic coupling methodology: (i) analytic approach-based, (ii) research methodology-based, and (iii) research field-based clusters. Indeed, research collaboration networks are demonstrated at the institution, author, and country levels to address current tendencies in maritime inspection analysis. Besides the compliance solution studies, the future insights of inspection regimes along with green and smart shipping are extensively discussed. The study has great potential to encourage the forthcoming initiatives and research on inspection analytics and digitalization in maritime, offshore, logistics, and relevant fields.

This study proposes a methodology to deeply analyze the multi-source inspection/audit findings gathered from a ship fleet to promote and implement proactive measures systematically. In addition to the ship audit reports of Company-A operating 16 bulk carriers in the Black Sea and the Mediterranean, the multi-source inspection database also consists of benchmarking datasets of different fleets. The Ship Smart Audit System (SSAS), including data collection, causation, analysis and prioritization, and implementation phases, is developed to strengthen the maritime regulatory compliance. Particularly, the Marine Systematic Cause Analysis Technique (M-SCAT), Cognitive Mapping (CM), and Pareto analysis are integrated into methodological background of the study. The SSAS is demonstrated with 5,000 findings from the benchmarking dataset and, subsequently, over 1,900 findings from the Company-A. Then, cause priorities, root cause trends, preventive actions, and audit item preferences are identified as an interconnected process of the ship management company. Consequently, the study encourages maritime executives to increase the effectiveness of pre-inspection and internal audit implementations.